Industry Mentor – AI/ML | Odia | Part-Time

About the Opportunity We are looking for an experienced AI/ML Industry Mentor to coach and upskill learners in Odia . This role combines technical mentoring, project reviews, and interview preparation for learners building practical, industry-ready Machine Learning solutions. The ideal candidate will have hands-on AI/ML industry experience, strong communication skills, and the ability to simplify complex technical concepts and guide learners effectively. Role & Responsibilities • Conduct live mentoring sessions and technical office hours in Odia , covering core AI/ML concepts, frameworks, and industry best practices. • Review learners' code, notebooks, and capstone projects and provide actionable technical feedback. • Guide learners on data preprocessing, feature engineering, model selection, training, evaluation, and deployment . • Help learners debug Python and machine learning code and resolve technical challenges. • Conduct technical assessments, mock interviews, and project reviews to prepare learners for AI/ML industry opportunities. • Help learners understand real-world AI/ML engineering practices and production considerations. • Share practical industry use cases and best practices in AI/ML. • Collaborate with curriculum and product teams to improve course content and practical assignments. • Track learner progress and identify challenges that require additional support. Skills & Qualifications Must-Have • 2+ years of hands-on experience in Artificial Intelligence / Machine Learning. • Strong Python programming skills. • Experience with PyTorch or TensorFlow . • Strong understanding of Scikit-learn and ML model evaluation . • Good understanding of data preprocessing, feature engineering, supervised and unsupervised learning, and model evaluation. • Practical experience working on AI/ML projects and deployment . • Prior experience in mentoring, teaching, training, or technical coaching . • Strong Odia communication skills — verbal and written. • Ability to explain complex AI/ML concepts in a simple and practical manner . Preferred • Familiarity with MLOps and Docker-based workflows . • Experience working on NLP or Computer Vision projects. • Experience conducting technical interviews. • Experience reviewing ML resumes, projects, or portfolios. • Experience with cloud platforms and ML deployment . • Industry experience building and deploying production-level ML solutions . Engagement & Benefits • Part-time, flexible engagement designed for working professionals. • Remote opportunity across India . • Opportunity to mentor and impact job-ready AI/ML learners . • Opportunity to contribute to curriculum and practical learning experiences. • Competitive mentor compensation. • Collaborative environment with experienced instructors and industry professionals.